PhD Theses (Electronics and Electrical Engineering)

Browse

Now showing 1 - 1 of 1

Analysis and Automatic Detection of Aspirated Fricative and Aspirated Nasals
(2022) Rabha, Saswati
Unlike aspiration in stops, aspiration in non-stop consonants is quite rare. Most of the languages that have aspirated non-stop consonants are low-resource languages. Hence, data-driven, quantitative, and statistical analysis of their aspiration phenomena is fairly limited. From the literature review, it has been observed that there is still a need to explore a novel framework that will utilize the advantages of both linguistic and signal- processing knowledge-based approaches for acoustic-phonetic analysis and automatic classi cation of aspirated fricatives and aspirated nasals. To address these issues, we study two phonemes,/s/ and /sh/ in a North-eastern language of India of Tibeto-Burman origin - Rabha, where contrast exists between aspirated and unaspirated counterparts. Also, for the study of aspirated nasals (/m/- /mh/, /n/-/nh/ and /N/-/Nh), we choose the Angami language, another North-eastern language of India of Tibeto-Burman origin. Both languages are low-resourced and are characterized by these unique sounds.